Sun is seeking a Director/Senior Director to head the Quantitative Pharmacology group within its Translational Medicine and Clinical Pharmacology group in Princeton, NJ. The director will report into the Vice President of Translational Medicine and Clinical Pharmacology. The Quantitative Pharmacology group is responsible for the oversight over drug development aspects related to clinical pharmacology and pharmacometrics of clinical development candidates, working in close collaboration with nonclinical and clinical functional areas. We work with all therapeutic areas within our Development Division. We are seeking a highly qualified individual to lead the group. Candidates must have a strong background in quantitative drug development and a desire to work collaboratively across different functional areas, as well as with external vendors and partners.
Success depends on the integrity, knowledge, imagination, creativity, skill, diversity and teamwork of the people in the group. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of the global team, you will collaborate with talented and dedicated colleagues across the Development Division while developing and expanding your career.
Primary Responsibilities:
Key member of a product development team, contributing to the advancement of novel chemical entities bringing a quantitative perspective into strategic development to support continued investment
Provide insight and leadership on pharmacokinetic aspects of clinical trials and programs and its application in development strategy
Drive the implementation of pharmacometric principles and practices
Development and execution of model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulations, and quantitative systems pharmacology (QSP) modeling
Provide pharmacometric support for programs through the worldwide marketing application filing including supportive registration documents and presentations
Provide clear, timely communication and interpretation of study results to functional area experts and governance/senior management
Contribute to assessment of internal and external opportunities
Interface broadly with key functions including discovery sciences, preclinical development groups, toxicology, clinical operations, drug metabolism, regulatory affairs, and late-stage clinical research
Mentoring and/or supervision of junior staff to perform above duties and support career development
Qualifications:
5+ years of postdoctoral experience in quantitative pharmacology/pharmacometrics in the biotech and/or pharmaceutical industry
Prior experience in the development and application of quantitative methods in drug development
Strong background in population PK modeling, exposure response modeling and analysis, and developing statistical and mechanistic models for drug development
Proven track record in clinical research and background in biomedical research
Demonstrated record of scientific scholarship and achievement, willingness to work collaboratively across different therapeutic areas.
Strong interpersonal, writing and presentation skills, as well as the ability to function in a team environment are essential
Education:
PhD in a quantitative science (e.g., statistics, mathematics, engineering, physics, computer science)
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of the incumbent(s).
We provide equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, military or veteran status, generic predisposing characteristics or any other basis prohibited by law.